Estimation of grassland net primary productivity based on CASA model in Gansu Province
As a light use efficiency model based on remote sensi the grassland NPP in Gansu Province in 2005. The spatial pattern ng of data,CASA model was set up to estimate grassland NPP and its response to topo graphic factors were also analyzed. Results showed that the improved CASA model indicated better estimation effects and maneuverability with the comparison of estimated and observed data. The total NPP of grassland in Gansu Province was 3.76 × 1 0^13 g/(m2· a),with highest and average value of 790.56 g/(m2· a) and 139.15 g/ (m2·a),respectively. There was obvious seasonal change in the grassland,the NPP was high in summer, and lowest in winter. It represented decreasing trend from northwest to northeast,and higher value in 3 000~3 500 m,25-30°and sunny slope in general.
NETL
NSTL
万方数据
维普
